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Destination Branding Input–Output Analysis: A Method of Evaluating Productivity

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In the turbulent and competitive marketplace, branding by differentiation is accepted as a strategy for competitive advantage of destinations. However, the process of differentiation poses both challenges and opportunities for destination marketing authorities due to the intangible nature of destination products. In order to avoid threats and take advantage of opportunities, destination marketing has to be applied in its true meaning, namely, research, development, and integrated marketing communications. However, destination marketing authorities also have to make sure that resources used for marketing a destination result in measurable outputs. This article proposes a branding input–output analysis to define the productivity of destination branding activities. To provide a concrete basis for destination marketing authorities, models and formulas are generated along with practical implications and future research suggestions.

Keywords: BRANDING INPUT–OUTPUT ANALYSIS; DESTINATION BRANDING; IMC; INTEGRATED MARKETING COMMUNICATION; RETURN ON BRAND INVESTMENT; ROBI; ROI

Document Type: Research Article

Publication date: 01 January 2009

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  • Established in 1996, Tourism Analysis is an interdisciplinary journal that provides a platform for exchanging ideas and research in tourism and related fields. The journal aims to publish articles that explore a broad range of research subjects, including, but not limited to, the social, economic, cultural, environmental, and psychological aspects of tourism, consumer behavior in tourism, sustainable and responsible tourism, and effective operations, marketing, and management.

    Tourism Analysis focuses on both theoretical and applied research and strives to promote innovative approaches to understanding the complex and dynamic nature of tourism, its stakeholders, businesses, and its effects on society. The journal welcomes articles on innovative research topics and methodologies beyond the traditional theory-testing sciences, such as robotics, computational sciences, and data analytics.

    Our primary goal is to contribute to the development and advancement of new knowledge in tourism while fostering critical reflections and debates on the radical changes and evolution in tourism among scholars, practitioners, policymakers, and other stakeholders.
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